Discuss the structure of intelligent agents in artificial intelligen.pdf
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Oct 07, 2023
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Discuss the structure of intelligent agents in artificial intelligence systems. Explain the key
components and their roles in designing an agent-based system. Consider the following
components: perception, knowledge representation, decision-making, and action. Provide a
detailed explanation of each ...
Discuss the structure of intelligent agents in artificial intelligence systems. Explain the key
components and their roles in designing an agent-based system. Consider the following
components: perception, knowledge representation, decision-making, and action. Provide a
detailed explanation of each component, including how they interact and contribute to the overall
functioning of an intelligent agent. Additionally, describe different types of agent architectures,
such as simple reflex agents, model- based agents, goal-based agents, and utility-based agents.
Compare and contrast these architectures in terms of their strengths, weaknesses, and suitability
for different problem domains. Finally, discuss the challenges associated with designing and
implementing intelligent agent systems and propose potential solutions or strategies to address
these challenges effectively..
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Language: en
Added: Oct 07, 2023
Slides: 1 pages
Slide Content
Discuss the structure of intelligent agents in artificial intelligence systems. Explain the key
components and their roles in designing an agent-based system. Consider the following
components: perception, knowledge representation, decision-making, and action. Provide a
detailed explanation of each component, including how they interact and contribute to the overall
functioning of an intelligent agent. Additionally, describe different types of agent architectures,
such as simple reflex agents, model- based agents, goal-based agents, and utility-based agents.
Compare and contrast these architectures in terms of their strengths, weaknesses, and suitability
for different problem domains. Finally, discuss the challenges associated with designing and
implementing intelligent agent systems and propose potential solutions or strategies to address
these challenges effectively.